Feature Extraction
Transformers
Safetensors
English
spectre
medical-imaging
ct-scan
3d
vision-transformer
self-supervised-learning
foundation-model
radiology
custom_code
Instructions to use cclaess/SPECTRE-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cclaess/SPECTRE-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cclaess/SPECTRE-Large", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cclaess/SPECTRE-Large", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Initial commit
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README.md
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library_name: transformers
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pipeline_tag: feature-extraction
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📢 [2026-05-20] The pretrained SPECTRE can now be loaded directly from the `transformers` library. Check below for the details.
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library_name: transformers
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📢 [2026-05-20] The pretrained SPECTRE can now be loaded directly from the `transformers` library. Check below for the details.
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